Job Summary
IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences, delivering sustainable innovations that elevate everyday products.
Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.
The role is remote-based with regular travel required; travel may reach up to ~35% annually depending on project scope and deployment phases, with occasional intensive periods (e.g., 2–3 consecutive weeks on-site). Multiple locations may be considered subject to business needs, local employment requirements, and candidate profile. Be part of a creative, solution-oriented, and collaborative team where together we can achieve greatness and make a real impact. Your potential is our inspiration.
Where You’ll Make a Difference
- Develop practical AI, machine learning and optimization solutions that help technical and operational teams make complex industrial data easier to understand, explore, and act on.
- Apply frontier AI models, including large language models, foundation models, and multimodal approaches, to create reliable tools for search, analysis, knowledge discovery, and decision support.
- Build AI-enabled applications that combine models, data pipelines, prompts, agents, evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable.
- Design and use knowledge graphs, ontologies, and structured domain knowledge to connect process data, experimental data, documents, terminology, assets, materials, and business context.
- Work with domain experts to translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics experiences.
- Develop robust pipelines for structured and unstructured data, including time-series data, laboratory data, manufacturing data, documents, and scientific or technical knowledge sources.
- Contribute to model validation, monitoring, documentation, governance, and continuous improvement so that deployed solutions can be trusted in real industrial environments.
- Collaborate across data science, engineering, digital technology, operations, and business teams to deliver solutions that create measurable value and are designed for adoption.
What Makes You the Right Fit
- Master’s, or PhD degree in Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data Science or Applied Mathematics.
- Demonstrated industrial experience with a proven track record of delivering measurable business impact and driving outcomes in production or operational environments
- Proven, hands-on experience with Python and modern machine learning workflows, including data preparation, modeling, validation, deployment, and monitoring.
- Experience developing end-to-end AI or machine learning applications, not only exploratory notebooks, with an ability to move from prototype to reliable solution including demonstrated experience deploying solutions in real industrial or production environments.
- •Practical understanding of frontier model capabilities and limitations, including prompt design, agentic AI, retrieval-augmented generation, evaluation, hallucination reduction, and human-in-the-loop workflows.
- Experience working with structured and unstructured data, such as time-series data, scientific data, engineering data, documents, knowledge bases, or complex operational datasets.
- Knowledge of methods such as mathematical optimization, process control, forecasting, anomaly detection, recommendation systems, natural language interfaces, classification, deep learning, or predictive analytics.
- Familiarity with software engineering practices such as version control, testing, application programming interfaces, containers, continuous integration and continuous delivery, and maintainable code design.
- Ability to communicate clearly with both technical and non-technical audiences, including explaining model outputs, uncertainty, assumptions, control logic, optimization trade-offs, and practical implications.
- A practical, delivery-oriented mindset with curiosity for industrial, scientific, optimization, and process control problems and a strong focus on usefulness, trust, and adoption.
How Would You Stand Out?
- Experience with knowledge graphs, ontologies, semantic modeling, graph databases, or retrieval-augmented generation for scientific, industrial, or operational use cases.
- Experience in manufacturing, process development, industrial operations, supply chain, biomanufacturing, bioinformatics, chemical processes, advanced process control, or mathematical optimization in technical environments.
- Experience with model registries, experiment tracking, observability, prompt and version management, evaluation frameworks, cloud platforms, or production machine learning systems.
Why Choose Us?
- Remote-based working model with meaningful collaboration across global teams and regular travel for high-impact engagement.
- Opportunity to apply advanced AI, optimization, and machine learning to real industrial and scientific challenges.
- A role where software engineering, data science, domain knowledge, process control, and practical problem solving come together.
- Exposure to diverse technical communities across Health & Biosciences, operations, digital technology, engineering, and business teams.
- Learning and development opportunities in a global company with a strong innovation culture.
- A collaborative environment where useful, explainable, and trusted solutions matter.
Compensation ($100,000 - $120,000) is based on a variety of factors including but not limited to work experience, skills, certifications, and location. Our benefits package includes medical, dental, vision, 401k, vacation, holidays, paid parental leave (maternity and paternity), and an annual bonus plan.
We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more
Skills Required
- Master's or PhD in Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data Science or Applied Mathematics.
- Demonstrated industrial experience delivering measurable business impact in production or operational environments.
- Hands-on experience with Python and modern machine learning workflows (data preparation, modeling, validation, deployment, monitoring).
- Experience developing end-to-end AI/ML applications and moving prototypes to reliable production solutions.
- Practical understanding of frontier model capabilities and limitations, including prompt design, agents, RAG, hallucination reduction, and human-in-the-loop workflows.
- Experience working with structured and unstructured data, including time-series, laboratory, manufacturing data, documents, and technical knowledge sources.
- Knowledge of methods such as mathematical optimization, process control, forecasting, anomaly detection, recommendation systems, classification, deep learning, or predictive analytics.
- Familiarity with software engineering practices: version control, testing, APIs, containers, CI/CD, and maintainable code design.
- Ability to communicate clearly with technical and non-technical audiences about models, uncertainty, assumptions, and trade-offs.
- Practical, delivery-oriented mindset with focus on usefulness, trust, and adoption in industrial settings.
- Experience with knowledge graphs, ontologies, semantic modeling, graph databases, or RAG for scientific or operational use cases.
- Experience in manufacturing, process development, biomanufacturing, process control, supply chain, or industrial operations.
- Experience with model registries, experiment tracking, observability, prompt/version management, cloud platforms, or production ML systems.
IFF Family of Companies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IFF Family of Companies and has not been reviewed or approved by IFF Family of Companies.
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Fair & Transparent Compensation — Pay is considered competitive in many roles and locations, and compensation is often described as good.
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Parental & Family Support — A global minimum of 16 weeks of fully paid parental leave for all new parents is in place. This policy is positioned as a notable component of the overall package.
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Leave & Time Off Breadth — Core offerings include paid time off, sick days, holidays, and sabbatical leave. Flexible scheduling options such as compressed workweeks and hybrid/remote arrangements are available where feasible.
IFF Family of Companies Insights
What We Do
Meet IFF: We boldly bring together science and creativity to create what the world needs. An industry leader in food, beverage, health and biosciences, we create essential solutions – from global icons to unexpected innovations and experiences. Equal parts outspoken and analytical, our international collective of thinkers working with customers to bring scents, tastes, experiences, ingredients and solutions for products people crave. With 24,000 employees across 65 countries, more than 110 manufacturing facilities, 100 R&D centers, and 33,000 customers across the world, we’re poised to make a difference on an unprecedented scale. Without our boundary-pushing passion and end-to-end expertise, the future wouldn’t be the same. Visit us at www.iff.com to learn more about how our talented people and new technology are challenging the expected, championing creators and doing more good for people and planet. Explore what sets us apart.
